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Computational modelling of movement-related beta-oscillatory dynamics in human motor cortex

Bhatt, Mrudul B., Bowen, Stephanie, Rossiter, Holly, Dupont-Hadwen, Joshua, Moran, Rosalyn J., Friston, Karl J. and Ward, Nick S. 2016. Computational modelling of movement-related beta-oscillatory dynamics in human motor cortex. Neuroimage 133 , pp. 224-232.

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Abstract

Oscillatory activity in the beta range, in human primary motor cortex (M1), shows interesting dynamics that are tied to behaviour and change systematically in disease. To investigate the pathophysiology underlying these changes, we must first understand how changes in beta activity are caused in healthy subjects. We therefore adapted a canonical (repeatable) microcircuit model used in dynamic causal modelling (DCM) previously used to model induced responses in visual cortex. We adapted this model to accommodate cytoarchitectural differences between visual and motor cortex. Using biologically plausible connections, we used Bayesian model selection to identify the best model of measured MEG data from 11 young healthy participants, performing a simple handgrip task. We found that the canonical M1 model had substantially more model evidence than the generic canonical microcircuit model when explaining measured MEG data. The canonical M1 model reproduced measured dynamics in humans at rest, in a manner consistent with equivalent studies performed in mice. Furthermore, the changes in excitability (self-inhibition) necessary to explain beta suppression during handgrip were consistent with the attenuation of sensory precision implied by predictive coding. These results establish the face validity of a model that can be used to explore the laminar interactions that underlie beta-oscillatory dynamics in humans in vivo. Our canonical M1 model may be useful for characterising the synaptic mechanisms that mediate pathophysiological beta dynamics associated with movement disorders, such as stroke or Parkinson's disease.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Publisher: Elsevier
Funders: Medical Research Council
Date of First Compliant Deposit: 7 November 2016
Date of Acceptance: 29 February 2016
Last Modified: 04 Jun 2017 09:29
URI: http://orca.cf.ac.uk/id/eprint/95755

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